Social media friend recommendation method based on mixing of blog articles and user relationships

Abstract

The invention discloses a social media friend recommendation method based on mixing of blog articles and user relationships. According to the method, user preferences are dug in users' Weibo text dataaccording to an LDA theme model, similarity of the users' blog articles is calculated, importance of Weibo social relations is considered, similarly of social relations among users is calculated, andthe comprehensive similarity of the users is finally acquired. Most of ordinary Weibo users have few information for digging, and have simple and reliable relations; few users have many blog articleson main pages, sufficient text information for digging and complex social relations, the number of followed is much more than the number of following, and there are many useless noise data in their social relations. The social media friend recommendation method has the advantages that influences of two different attribute messages on recommendation results are measured through linear weighting, user recommendation lists are finally acquired through experimental learning of weight parameters, and quality of recommendation results is improved.

Description

technical field [0001] The invention relates to the technical field of computer recommendation algorithms, in particular to a social media friend recommendation method that mixes blog posts and user relationships. Background technique [0002] Personalized information recommendation has been widely used in various fields at this stage. At present, mainstream methods include collaborative filtering recommendation and content-based recommendation. Based on content recommendation, that is, through the attributes of the content itself, and then calculate the similarity of the content, find items with similar attributes to an item. Collaborative filtering, the so-called collaborative filtering, does not rely on the item attributes of the item itself, but uses other relevant features, such as the behavior data of people participating, to achieve the purpose of recommending items. The new social network represented by Weibo, facebook, twitter, etc. can gather many users together,...

AI Technical Summary

Problems solved by technology

[0004] What the present invention aims to solve is the problem of rich text information and complex user relationships in existing social media, so that it is difficult to obtain personalized information, and provides a social media friend recommendation method that mixes blog posts and user relationships

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